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Overview

Product Information on Honeycomb

Updated 13th October 2025

What is Honeycomb?

Honeycomb is a software designed for observability and analysis of complex systems. It provides tools for real-time event-based data collection, enabling users to visualize and explore system behavior across distributed environments. The software helps teams monitor application performance, identify bottlenecks, and troubleshoot issues by aggregating telemetry data such as logs and traces. Honeycomb offers querying capabilities to surface patterns and anomalies, allowing users to drill down into high-cardinality datasets. The software supports integration with various platforms and cloud environments, making it suitable for organizations seeking to improve reliability and maintainability of their applications by gaining deeper insight into production systems.

Honeycomb Pricing

Honeycomb software uses a usage-based pricing model where customers are charged based on the volume of data events analyzed per month. The software offers multiple plans that vary by features such as retention period, number of team members, and support options. A free tier with limited volume is also available and enterprise plans can be customized based on specific requirements and event volume.

Overall experience with Honeycomb

Chief Information Officer
30B + USD, Insurance (except health)
FAVORABLE

“This is not an observability conversation. It's an engineering culture conversation.”

4.0
Mar 25, 2026
We brought Honeycomb into our Group function as part of our broader engineering transformation programme. We were not evaluating monitoring tools. We have plenty of those. What we needed was a forcing function to change how engineering teams understood the production systems they were responsible for but had limited visibility into. Honeycomb delivered on that. The high cardinality query engine gave individual service teams within our business units direct, self-service access to their own production telemetry for the first time within our company. In an environment where most teams operated through borrowed visibility, relying on infrastructure dashboards owned by other teams or vendor managed alerting that they could not customize, during incidents, Honeycomb platform shifted the engineering behavior to effectively test application behavior in pre-production. That was a first for us. What held us back from a perfect score: the SaaS only model created real friction during procurement for a European regulated insurer. Data residency, audit trail requirements, and third party risk assessment added months. And the product assumes an engineering-led organization. In outsourcing-heavy enterprises such as ours, the onboarding investment is steeper and that was a learning for Honeycomb. Both of these are solvable, but they are real.
Software Developer
<50M USD, Software
CRITICAL

“Good enough, some strengths, clunky”

3.0
Apr 29, 2026
Works well enough but takes some getting used to coming from more traditional observability patterns. Needed to adjust to thinking in terms of events+attributes instead of metrics.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Honeycomb

byHoneycomb
in
4.7

About Company

Company Description

Updated 7th December 2023

Honeycomb is an organization engaged in offering full stack observability. Established based on prior experiences faced while resolving issues at the scale of millions of applications serving a large user base, the company's focus is on high cardinality data and collaborative problem solving. Honeycomb's primary business solution involves enabling every engineer to instrument and observe the behavior of their system, thereby assisting in a comprehensive understanding and debugging of production software.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2016
Head office location
San Francisco, United States
Number of employees
51 - 200
Website
https://www.honeycomb.io

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Honeycomb Likes & Dislikes

Like

1. The query engine and the UX are the real differentiators from a user perspective. High cardinality exploration across traces and events lets you ask questions about production that no existing monitoring tools at our disposal can answer. When an incident involves a combination of customer segment, deployment version, and infrastructure region, using the span attribute feature is such a powerful way for teams to correlate the various subsystems across a landscape as complex as ours. None of the existing monitoring tools allow us to enrich tracing data on the fly. This is not an incremental improvement over APM tooling. It's a step change in understanding production systems. 2. OTel-native instrumentation is non-negotiable for us, both ingest and export. We were consolidating a fragmented observability stack across multiple vendors and needed portable instrumentation to support our telemetry pipelines. Honeycombs commitment to OpenTelemetry meant we could invest in instrumentation once and not face re-work if our vendor landscape evolved. In a regulated environment where vendor changes require long procurement cycles, portability is strategic and necessary. 3. Unlike other vendors, the team engaged as a strategic partner, not a product vendor. Honeycombs willingness to discuss engineering culture change and how observability practice actually scales inside large regulated enterprises was unmatched by any vendor conversation I've had at our company on the buyer side. Product leadership engaged directly with our architecture team on strategic questions.

Like

The event-driven approach includes great detail when you get used to choosing good attributes. Exploration and correlation is powerful when you get used to it.

Like

There are so many 2nd order positive externalities from a shared vision of production -- the things that matter most. Honeycomb's approach brings clarity to engineers unfamiliar with the ecosystem in which their code lives. The long term effects are felt compounding as more and more service teams join in the fun. Refinery is also a key piece of the product offering that is buried in implementation details. It's been an absolute powerhouse for us, and we wouldn't have been able to see the signal through the noise without it.

Dislike

1. Enterprise procurement and data sovereignty need more attention. For us operating under DORA, GDPR and other country BU specific regulations, the SaaS only model created friction with our Group procurement and third-party risk management assessment functions. Data residency requirements, audit trail expectations, and third-party risk assessment processes are not optional for a globally regulated insurer like us. This added months to contracting and required internal sponsorship from our architecture function. 2. The product is built for engineering-led organizations. At our company, the distance between the teams writing code and the teams operating is significant given our outsourcing model. The adoption curve was steeper than Honeycomb's documentation acknowledges. We had to model internal enablement programs to support application and operations teams during the initial rollout. That investment paid off, but it was ours to make, and it was a learning experience for Honeycomb on how to scale adoption inside enterprises that do not look like their typical customer base.

Dislike

The dashboarding works fine, but is clunky and generally unpleasant. I prefer the visual and experience of building a dashboard in other products from years ago. Need more flexibility in how I layout the board itself/compactness; unbelievable there isn't already a collapsible row/sections feature. Cloning boards between environments doesn't include text panels, but that's a known limitation. Managing board definitions in code/terrafrom is painful, why can't I just export/import from JSON? Can't create a board that includes an attribute until that attribute has been seen in that environment. The separation of datasets is pretty strict; so combining observability data from different systems basically has to be handled outside the system. Alerting works, but has various limits (how much history can be queried) that make it a little harder to use.

Dislike

I dislike the managed service nature of platform SaaS for what I think are obvious reasons: adversarial observation and data custody. I know Honeycomb recently released an enterprise version that can run in a private cloud, and that's a step in the right direction, but at what point do I just build my own telemetry platform on ClickHouse internally and keep Honeycomb exclusively for sampled reality? See, I would love it if we could have a better data sovereignty solution, kinda like Solid and pods from timbl, for people and orgs. Honeycomb's focus has been on engineering organizations, but the world is going to need a tiered data classification system that OTel spans does not support today, or the engineers will have to manage all of that on another layer. I dislike that the AI features changed the ToS such that my employer won't enable it. As one of the earliest MCP users, it hurts my soul that we are sending you our reality, and we can't query it with the new tool. That's been a pain, but it's one that is rooted in the platform SaaS problem I've described.

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  • Chief Information Officer
    10B+ USD
    Insurance (except health)
    Review Source

    This is not an observability conversation. It's an engineering culture conversation.

    4.0
    Mar 25, 2026
    We brought Honeycomb into our Group function as part of our broader engineering transformation programme. We were not evaluating monitoring tools. We have plenty of those. What we needed was a forcing function to change how engineering teams understood the production systems they were responsible for but had limited visibility into. Honeycomb delivered on that. The high cardinality query engine gave individual service teams within our business units direct, self-service access to their own production telemetry for the first time within our company. In an environment where most teams operated through borrowed visibility, relying on infrastructure dashboards owned by other teams or vendor managed alerting that they could not customize, during incidents, Honeycomb platform shifted the engineering behavior to effectively test application behavior in pre-production. That was a first for us. What held us back from a perfect score: the SaaS only model created real friction during procurement for a European regulated insurer. Data residency, audit trail requirements, and third party risk assessment added months. And the product assumes an engineering-led organization. In outsourcing-heavy enterprises such as ours, the onboarding investment is steeper and that was a learning for Honeycomb. Both of these are solvable, but they are real.
  • Engineer
    50M-1B USD
    Software
    Review Source

    Honeycomb Solves Previously Temporal Coordination Problems

    5.0
    Feb 11, 2026
    Using Honeycomb is fun! & ofc Leadership, Wisdom, Guidance
  • Engineering Manager
    50M-1B USD
    Consumer Goods
    Review Source

    Fantastic communication and support but be prepared to put some effort in

    5.0
    Mar 11, 2026
    Honeycomb were very supportive during our original set up, providing experts to help us understand how to use the more advanced features of their query language with our applications. The communication from our support at Honeycomb has been fantastic, with them making the time to listen to our issues, and being patient as other projects got in the way of a full roll out. Their communication through our shared Slack channel is consistently well handled, their developer support is always useful, and their Product Owners and User Researchers take feedback and suggestions kindly, with good follow up questions. The requests don't disappear either, I've had multiple feature changes/requests appear in production. Their documentation and education platforms make it easy to get started regardless of your level of experience with Observability in general.
  • Director of Software Development
    50M-1B USD
    Software
    Review Source

    Honeycomb Delivers Strong Observability Fundamentals With Simple Billing and Exceptional Team Support

    5.0
    Mar 13, 2026
    Our experience with the Honeycomb product has been very positive. We were looking for an observability platform with very strong fundamentals (distributed tracing, metrics, error reporting) that had a simple and fair billing model. With Honeycomb we found what we were looking for on all accounts. One of the standout parts of our deployment and integration with the platform has been the Honeycomb team. They're available, helpful and genuinely great to work with.
  • Software Developer
    Gov't/PS/Ed
    Education
    Review Source

    Enable Developers to Improve Their Product with Honeycomb Observability

    5.0
    Apr 2, 2026
    We came from an APM tool and had to transition to OpenTelemetry. Honeycomb's free tier allowed us to start without any commitment. Their Pro tier allowed us to grow and make incremental improvements in our instrumentation. We're now on an Enterprise plan as we've been able to grow our instrumentation sufficiently. That self-service transition was a huge benefit for us becoming a Honeycomb client. The product itself is great (will detail in the next answer). The support we got in getting Refinery up and running was fantastic from the Pollinators group. The Support helpdesk is also great - I was thrilled when a new bug got fixed within 24 hours of me reporting it. We've had regular contact through our account team the entire time (despite a couple transitions), but it's great to have a point-of-contact inside the organization.
...
Showing Result 1-5 of 107

4.7

(107 Ratings)

Rating Distribution

5 Star
71%
4 Star
27%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Integration & Deployment

4.6

Service & Support

4.7

Product Capabilities

4.4